Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC
type: Item
instance of: scholarly article
title: Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC
zbMATH Open document ID: 1486.62103
author: Marco A. R. Ferreira
author: Nilotpal Sanyal
published in: Statistical Methodology
publication date: 2019-03-13T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 65C40
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 62K05
Mathematics Subject Classification ID: 62L05
zbMATH DE Number: 7035571
zbMATH Keywords: Bayesian inference
zbMATH Keywords: evolutionary Monte Carlo
zbMATH Keywords: nonparametric function estimation
zbMATH Keywords: optimal experimental design
describes a project that uses: spBayes
describes a project that uses: fda (R)
MaRDI profile type: Publication
full work available at URL: j.stamet.2013.11.002
OpenAlex ID: W2071222642
cites work: Q5558293
cites work: Bayesian-Optimal Design via Interacting Particle Systems
cites work: Statistical decision theory and Bayesian analysis. 2nd ed
cites work: Bayesian experimental design: A review
cites work: Automatic Bayesian Curve Fitting
cites work: Bayesian curve-fitting with free-knot splines
cites work: Ideal spatial adaptation by wavelet shrinkage
cites work: Sequential Monte Carlo Methods in Practice
cites work: Artificial Evolution
cites work: Multiscale modeling. A Bayesian perspective
cites work: Q4255465
cites work: Q5480569
cites work: Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
cites work: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
cites work: Q4315271
cites work: Q5456605
cites work: Population-Based Reversible Jump Markov Chain Monte Carlo
cites work: A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
cites work: Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes
cites work: Population Markov chain Monte Carlo
cites work: Q4488839
cites work: Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models
cites work: A NOTE ON SAMPLING DESIGNS FOR RANDOM PROCESSES WITH NO QUADRATIC MEAN DERIVATIVE
cites work: Optimal designs for approximating the path of a stochastic process
cites work: Spatial adaption for predicting random functions
cites work: Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation
cites work: Q4151609
cites work: Functional data analysis.
cites work: Q4828566
cites work: Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs
cites work: Dynamic Trees for Learning and Design
cites work: Q4256211
cites work: Spatial sampling design for parameter estimation of the covariance function
DOI: 10.1016/J.STAMET.2013.11.002
description: scientific article; zbMATH DE number 7035571